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5 Aug 2013: Left: standard DTCWT without scale normalisation (as used in [3]). Middle:standard DTCWT with 2k scale normalisation. ... One (“auxiliary”) is above and somewhat in front ofthe other (“reference/test”), the difference in elevation being about 15.

16 Dec 2013: Our tests suite takes nine minutes to run (distributed across 30-40 machines). ... Build for Change. Communicate Clearly. Test Continuously, Test Everything- problem understanding, user behaviour assumptions, code, integration.

5 Aug 2013: Note that thecorrect primary cluster match (and thus, the correct targetmatch) is located at the right middle of the search image. ... We use the same setup to test the SIFTmethod2, and compare the two methods’ abilities to success-fully match the

5 Aug 2013: An estimateof the noise-to-signal power ratio is computed in advanceby spectral ratio techniques and made available to both thealgorithms under test. ... Hence:. F̂X,Y = D1X,Y BX,Y. In our test problem, eachDX,Y matrix is 584 584.

5 Aug 2013: 4.1. Experiment settings. For comparative purposes, we performed the experiments on thestandard test image, Cameraman. ... The undec-mean estimates are shown in the middle column of Figure 3.

16 Dec 2013: Check in Everything (!) you need to create, install, run and test: code, tests, database scripts, build and deployments scripts, etc. ... http://dannorth.net/introducing-bdd/. • “Behaviour” is a better word than “test” - different focus- Unit

16 Dec 2013: A test is designed which candetect the condition, if it is present, with 95% probability. ... Since 62 pass the me-chanical test, then the number taking branchb = 6235 = 27.

5 Aug 2013: In [4], Takacs et al. use Features from AcceleratedSegment Test keypoints [5] and perform descriptor matchingto estimate the image transformation. ... The weighting factor of the motionconstraint is small when the image features are dissimilar in thetwo

15 Aug 2013: 1. Monte Carlo Filtering for Multi-Target. Tracking and Data AssociationJaco Vermaak, Simon J. Godsill and Patrick Pérez. Abstract. In this paper we present Monte Carlo methods for multi-target tracking and data association. The methods are.

5 Oct 2013: the corresponding backward test channel [5, 15, 63]. This is a fictitious channel. ... test channel conditional distribution, and both of them are assumed to have memory.